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Brand Voice Consistency.

Teach AI how you sound — and keep it consistent across everything.

After this lesson you'll know

  • How to define your brand voice in a way AI can actually use
  • The voice document method that transforms AI output quality
  • Common voice-killing mistakes and how to fix them
  • How to maintain consistency across platforms and formats

AI doesn't know what you sound like. Yet.

Out of the box, AI writes in a generic, slightly corporate, aggressively helpful tone. It uses phrases like "dive deep," "in today's fast-paced world," and "let's unpack this." It sounds like everyone and no one at the same time.

That's not AI's fault. It's writing in its default voice because you haven't taught it yours. This lesson fixes that permanently.

Building your voice document.

A voice document is a reference sheet that tells AI exactly how you communicate. Create one and paste it at the start of every content session. Here's what to include:

Tone words (pick 3-5): Examples: "Direct, warm, occasionally irreverent, confident but not arrogant." These give AI a personality target.

Writing rules: "Short paragraphs. No jargon unless I define it. Use contractions. Sentence fragments are OK for emphasis. Never use 'dive deep,' 'leverage,' 'unlock,' or 'game-changer.'"

Sample writing: Paste 3-5 paragraphs of your best writing — content that sounds most like you at your best. Tell AI: "Match this voice exactly."

Audience awareness: "My audience is [who]. They're sophisticated enough to handle [X] but turned off by [Y]. They appreciate honesty and hate fluff."

The voice-training prompt that changes everything.

Use this to train AI on your voice at the start of any session:

"Here's my brand voice guide. Study it carefully and match this voice in everything you write for me today. [Paste voice document]. Before writing anything, confirm you understand my voice by describing it back to me in 2-3 sentences."

That last instruction — asking AI to describe your voice back — is crucial. It forces the model to internalize the patterns rather than just scanning past them. If the description doesn't sound right, correct it until it does. That calibration step takes 30 seconds and dramatically improves every piece of content in the session.

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